As a global entertainment expert, it is clear that demand insights can be used to help entertainment executives at various stages of content creation, acquisition, and distribution, make more informed decisions. Using "The Real Housewives Of New Jersey" as an example, it is evident that analyzing audience demand over time can provide decision makers with valuable insights on viewership trends, audience preferences, and market competition.
Content Valuation is an economic valuation system powered by global content demand and supply. It enables content creators to estimate the worth of a particular title or library of content based on regional-specific audience demand. In the case of "The Real Housewives Of New Jersey," it boasts good demand, seven times higher than the average TV show in Germany over the last 30 days. The show's peak demand has decreased over the past 90 days, pointing out that its value is diminishing. Nevertheless, its excellent performance over time indicates it has good longevity in terms of audience demand, which adds to its value as a strategic asset for a streaming platform. Demand data can quantify a title's contributions, such as on acquisition or reducing churn, for any platform in any region.
Demand data can also be used to map local white spaces, determine optimal release strategy and pricing, and assist with subscriber acquisition and retention. Given its market global performance over the last 30 days, policymakers should note that "The Real Housewives Of New Jersey" attracts a diverse audience globally. Additionally, analyzing demand data on a rolling year basis can provide insight into its growing popularity as an increased surge in demand has been seen recently.
Furthermore, by examining the top global markets of "The Real Housewives Of New Jersey," it is evident that the show's demand is highest in the United States, its country of origin, and good in other countries such as Germany, Netherlands, Canada, and the United Kingdom. The countries have different audience sizes and preferences, which makes it easier for a show's promoter to tailor its marketing strategy to suit different markets.
In conclusion, demand data from shows can be vital to decision makers in the entertainment industry when creating, acquiring, or distributing content. They can use demand data to evaluate content worth, quantify platform-specific revenue, attain audience insight for discovery and recommendation, optimize pre-release marketing, map local whitespaces, obtain optimal release strategies, and measure viewer engagement. "The Real Housewives Of New Jersey" performed excellently in this example and proves useful for decision-makers in entertainment companies.
